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Python Microservices Development

You're reading from   Python Microservices Development Build, test, deploy, and scale microservices in Python

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781785881114
Length 340 pages
Edition 1st Edition
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Author (1):
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Tarek Ziadé Tarek Ziadé
Author Profile Icon Tarek Ziadé
Tarek Ziadé
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Table of Contents (13) Chapters Close

Preface 1. Understanding Microservices 2. Discovering Flask FREE CHAPTER 3. Coding, Testing, and Documenting - the Virtuous Cycle 4. Designing Runnerly 5. Interacting with Other Services 6. Monitoring Your Services 7. Securing Your Services 8. Bringing It All Together 9. Packaging and Running Runnerly 10. Containerized Services 11. Deploying on AWS 12. What Next?

Running all microservices


Running a microservice can be done by using the built-in Flask web server. Running the Flask apps via this script requires to set up an environment variable, which points to the module that contains the flask application.

In the following example, the application for Runnerly, the dataservice microservice is located in the app module in runnerly.dataservice and can be launched from the root directory with this command:

$ FLASK_APP=runnerly/dataservice/app.py bin/flask run 
 * Serving Flask app "runnerly.dataservice.app" 
 * Running on http://127.0.0.1:5000/ (Press CTRL+C to quit) 
127.0.0.1 - - [01/May/2017 10:18:37] "GET / HTTP/1.1" 200 -

Running apps using Flask's command line is fine, but it restricts us to use its interface options. If we want to pass a few arguments to run our microservice, we would need to start to add environment variables.

Another option is to create our own launcher using the argparse module (https://docs.python.org/3/library/argparse.html...

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